R Programming for Biologists

R programming has become an essential tool in biological research for data analysis, bioinformatics, and statistical computing. This 3-day workshop is designed specifically for biologists who seek to develop their coding skills and enhance their ability to analyze complex biological data. Participants will learn the fundamentals of R, focusing on practical applications in genomics, ecological modeling, and evolutionary biology. Throughout the workshop, biologists will explore various data sets, learning how to clean, analyze, and visualize data using R packages such as ggplot2. The sessions are designed to be highly interactive, with hands-on exercises that simulate real-world biological research challenges. No prior programming experience is required, but a basic understanding of biological concepts will be beneficial.

This workshop aims to introduce biologists to the powerful capabilities of R programming for data analysis, visualization, and statistical computing in biological research. By the end of the workshop, participants will be equipped to handle biological data sets, create insightful visualizations, and implement statistical models relevant to their work.

Day 1: 

• Introduction to R studio

• Data Structures in R- vectors, matrix, lists and Dataframes

• Using and Manipulating Basic R Data Types.

• Control flow- if else, loops, apply

Day 2: 

• Installing R libraries for data analysis

• Basic statistical analysis with R

• Correlation, Regression analysis

• Concepts of R tidyverse

Day 3: 

• Data Visualization with ggplot2

• DNA and Protein sequence analysis with seqinr

• Basics of Bioconductor package

Requirement: OS with latest version of R and R studio installed